def test_binary_phase_encoding2(self):
""" n_qubits ancilla=True"""
elements = [-1, 1]
x = np.random.choice(elements, 8)
bp = encode.BinaryPhaseEncoding(ancilla=True)
n_qubits = bp.n_qubits(x)
self.assertEqual(3, n_qubits, 'Error in n_qubits')
def test_combine3(self):
""" BinaryPhase, BinaryPerceptron """
x = np.array([-1, 1, 1, -1])
encoder = encode.BinaryPhaseEncoding()
model = BinaryPerceptron()
full_circuit = combine(x, encoder, model)
print(full_circuit)
self.assertTrue(isinstance(full_circuit, qiskit.QuantumCircuit))
def test_combine5(self):
""" With BinaryEncoding and a different model """
x = np.array([-1, 1, 1, -1])
encoder = encode.BinaryPhaseEncoding()
model = TreeTensorNetwork()
full_circuit = combine(x, encoder, model)
print(full_circuit)
self.assertTrue(isinstance(full_circuit, qiskit.QuantumCircuit))
def test_binary_phase_encoding3(self):
""" Default Arguemnets ancilla=False"""
bp = encode.BinaryPhaseEncoding(ancilla=False)
elements = [-1, 1]
equals_list = []
for _ in range(5):
x = np.random.choice(elements, 8)
circuit = bp.circuit(x)
circuit_psi = get_state_vector(circuit)
psi = 1 / np.sqrt(8) * x
equals_list.append(np.allclose(psi, circuit_psi))
all_true = reduce(lambda a, b: (a and b), equals_list)
self.assertTrue(all_true)
def test_binary_phase_encoding4(self):
""" Default Arguemnets ancilla=True (default)"""
bp = encode.BinaryPhaseEncoding()
elements = [-1, 1]
equals_list = []
zero_state = np.array([1, 0])
for _ in range(1):
x = np.random.choice(elements, 8)
circuit = bp.circuit(x)
circuit_psi = get_state_vector(circuit)
psi = np.kron(zero_state, (1 / np.sqrt(8) * x))
equals_list.append(np.allclose(psi, circuit_psi))
all_true = reduce(lambda a, b: (a and b), equals_list)
self.assertTrue(all_true)